IL274767B1 - A method for 3D medical image analysis and a system for detecting vertebral fractures - Google Patents
A method for 3D medical image analysis and a system for detecting vertebral fracturesInfo
- Publication number
- IL274767B1 IL274767B1 IL274767A IL27476720A IL274767B1 IL 274767 B1 IL274767 B1 IL 274767B1 IL 274767 A IL274767 A IL 274767A IL 27476720 A IL27476720 A IL 27476720A IL 274767 B1 IL274767 B1 IL 274767B1
- Authority
- IL
- Israel
- Prior art keywords
- voxels
- image
- fracture
- voxel
- probability
- Prior art date
Links
- 206010041569 spinal fracture Diseases 0.000 title claims description 57
- 238000003703 image analysis method Methods 0.000 title claims description 6
- 206010017076 Fracture Diseases 0.000 claims description 89
- 238000000034 method Methods 0.000 claims description 83
- 208000010392 Bone Fractures Diseases 0.000 claims description 82
- 238000013527 convolutional neural network Methods 0.000 claims description 43
- 210000000278 spinal cord Anatomy 0.000 claims description 33
- 238000003384 imaging method Methods 0.000 claims description 24
- 238000005094 computer simulation Methods 0.000 claims description 21
- 238000012549 training Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 15
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- 238000002059 diagnostic imaging Methods 0.000 claims description 3
- 210000000988 bone and bone Anatomy 0.000 description 10
- 208000001132 Osteoporosis Diseases 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 6
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- 238000010606 normalization Methods 0.000 description 6
- 208000001164 Osteoporotic Fractures Diseases 0.000 description 5
- 230000011218 segmentation Effects 0.000 description 5
- 206010010214 Compression fracture Diseases 0.000 description 4
- 230000006870 function Effects 0.000 description 4
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- 206010020100 Hip fracture Diseases 0.000 description 3
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- 206010051290 Central nervous system lesion Diseases 0.000 description 1
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Classifications
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- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
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- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/032—Transmission computed tomography [CT]
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- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/032—Transmission computed tomography [CT]
- A61B6/035—Mechanical aspects of CT
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- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
- A61B6/505—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of bone
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- G—PHYSICS
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
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- A—HUMAN NECESSITIES
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- G—PHYSICS
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30008—Bone
- G06T2207/30012—Spine; Backbone
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
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- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Epidemiology (AREA)
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- Molecular Biology (AREA)
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- Biophysics (AREA)
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- Pulmonology (AREA)
- Computer Graphics (AREA)
- Physiology (AREA)
- Orthopedic Medicine & Surgery (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
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- Bioinformatics & Cheminformatics (AREA)
- Probability & Statistics with Applications (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GBGB1720059.3A GB201720059D0 (en) | 2017-12-01 | 2017-12-01 | Three-dimensional medical image analysis method and system for identification of vertebral fractures |
| PCT/EP2018/082925 WO2019106061A1 (fr) | 2017-12-01 | 2018-11-29 | Procédé et système d'analyse d'image médicale tridimensionnelle pour l'identification de fractures vertébrales |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| IL274767A IL274767A (en) | 2020-07-30 |
| IL274767B1 true IL274767B1 (en) | 2024-05-01 |
| IL274767B2 IL274767B2 (en) | 2024-09-01 |
Family
ID=60950305
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IL274767A IL274767B2 (en) | 2017-12-01 | 2018-11-29 | A method for 3D medical image analysis and a system for detecting vertebral fractures |
Country Status (11)
| Country | Link |
|---|---|
| US (2) | US11341639B2 (fr) |
| EP (1) | EP3718077A1 (fr) |
| JP (1) | JP7241075B2 (fr) |
| KR (1) | KR102708979B1 (fr) |
| CN (1) | CN111417980B (fr) |
| AU (1) | AU2018376561B2 (fr) |
| CA (1) | CA3084097A1 (fr) |
| GB (1) | GB201720059D0 (fr) |
| IL (1) | IL274767B2 (fr) |
| SG (1) | SG11202004739RA (fr) |
| WO (1) | WO2019106061A1 (fr) |
Families Citing this family (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110135227B (zh) * | 2018-02-09 | 2022-06-03 | 电子科技大学 | 一种基于机器学习的激光点云室外场景自动分割方法 |
| JP7304901B2 (ja) * | 2018-09-04 | 2023-07-07 | 深▲セン▼先進技術研究院 | 不整脈検出方法、装置、電子装置およびコンピュータ記憶媒体 |
| US11011257B2 (en) | 2018-11-21 | 2021-05-18 | Enlitic, Inc. | Multi-label heat map display system |
| US20220028066A1 (en) * | 2018-12-10 | 2022-01-27 | Voxeleron, LLC | System and method for obtaining measurements from imaging data |
| US11315242B2 (en) * | 2019-04-10 | 2022-04-26 | International Business Machines Corporation | Automated fracture detection using machine learning models |
| US11263497B2 (en) | 2019-06-21 | 2022-03-01 | StraxCorp Pty. Ltd. | Method and system for machine learning classification based on structure or material segmentation in an image |
| CN110276408B (zh) * | 2019-06-27 | 2022-11-22 | 腾讯科技（深圳）有限公司 | 3d图像的分类方法、装置、设备及存储介质 |
| US11068752B2 (en) * | 2019-10-31 | 2021-07-20 | General Electric Company | Inspection systems and methods including image classification module |
| US11741694B2 (en) | 2020-06-09 | 2023-08-29 | Merative Us L.P. | Spinal fracture detection in x-ray images |
| CN111899880B (zh) * | 2020-08-03 | 2024-08-27 | 暨南大学附属第一医院（广州华侨医院） | 腰椎骨小梁负载应力改变及隐匿骨折人工风险评估方法 |
| JP2022040570A (ja) * | 2020-08-31 | 2022-03-11 | グローリー株式会社 | 画像処理装置、画像処理システム、アノテーション付与方法、学習済みモデルの製造方法、学習済みモデル、およびプログラム |
| CN112529035B (zh) * | 2020-10-30 | 2023-01-06 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | 识别不同电台个体种类的智能识别方法 |
| US20220293244A1 (en) * | 2021-03-09 | 2022-09-15 | Washington University | Methods and systems for resting state fmri brain mapping with reduced imaging time |
| KR102588116B1 (ko) * | 2021-04-19 | 2023-10-11 | 주식회사 바스젠바이오 | 엑스레이 영상에서 골절을 검출하는 방법 |
| CN113378756B (zh) * | 2021-06-24 | 2022-06-14 | 深圳市赛维网络科技有限公司 | 一种三维人体语义分割方法、终端设备及存储介质 |
| CN113470004A (zh) * | 2021-07-22 | 2021-10-01 | 上海嘉奥信息科技发展有限公司 | 一种基于ct的单个椎体的分割方法、系统及介质 |
| WO2023010248A1 (fr) * | 2021-08-02 | 2023-02-09 | 香港中文大学 | Appareil d'examen d'une fracture vertébrale ostéoporotique à l'aide d'une radiographie thoraco-abdominale en vue frontale |
| CN114078120B (zh) * | 2021-11-22 | 2022-05-20 | 北京欧应信息技术有限公司 | 用于检测脊柱侧弯的方法、设备和介质 |
| CN114782472B (zh) * | 2022-06-22 | 2022-10-14 | 杭州三坛医疗科技有限公司 | 一种ct图像的分割方法及装置 |
| WO2024018368A2 (fr) * | 2022-07-18 | 2024-01-25 | Augmedics Ltd. | Étalonnage et enregistrement d'images préopératoires et peropératoires |
| WO2024047142A1 (fr) * | 2022-09-01 | 2024-03-07 | Koninklijke Philips N.V. | Détection de fracture vertébrale |
| KR102605501B1 (ko) * | 2022-11-23 | 2023-11-24 | 주식회사 바스젠바이오 | 인공신경망 기반의 척추 전방위증 진단 장치 및 그 정보 제공 방법 |
| KR102570004B1 (ko) * | 2022-12-02 | 2023-08-24 | 주식회사 바스젠바이오 | 인공신경망 기반의 척추 진단 시스템 및 그 정보 제공 방법 |
| KR20240139497A (ko) | 2023-03-14 | 2024-09-23 | 김태신 | 압박골절 발생 예측 장치 및 그 방법 |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6385283B1 (en) * | 1999-11-24 | 2002-05-07 | Hologic, Inc. | Device and method for determining future fracture risk |
| US6975894B2 (en) * | 2001-04-12 | 2005-12-13 | Trustees Of The University Of Pennsylvania | Digital topological analysis of trabecular bone MR images and prediction of osteoporosis fractures |
| GB0503236D0 (en) * | 2005-02-16 | 2005-03-23 | Ccbr As | Vertebral fracture quantification |
| US20090169087A1 (en) * | 2006-03-24 | 2009-07-02 | Kunio Doi | Method for detection of vertebral fractures on lateral chest radiographs |
| US8175349B2 (en) | 2006-08-16 | 2012-05-08 | Siemens Medical Solutions Usa, Inc. | System and method for segmenting vertebrae in digitized images |
| US7804992B2 (en) * | 2006-10-02 | 2010-09-28 | Hologic, Inc. | Cardiovascular risk assessments using aortic calcification information derived from x-ray measurements taken with a dual energy x-ray densitometer |
| IL179581A0 (en) * | 2006-11-26 | 2007-05-15 | Algotec Systems Ltd | Spine labeling |
| GB0806509D0 (en) | 2008-04-10 | 2008-05-14 | Nordic Bioscience As | Vertebral fracture prediction |
| US8437521B2 (en) | 2009-09-10 | 2013-05-07 | Siemens Medical Solutions Usa, Inc. | Systems and methods for automatic vertebra edge detection, segmentation and identification in 3D imaging |
| US8693750B2 (en) * | 2011-01-14 | 2014-04-08 | Siemens Aktiengesellschaft | Method and system for automatic detection of spinal bone lesions in 3D medical image data |
| US8891848B2 (en) * | 2011-06-14 | 2014-11-18 | Radnostics, LLC | Automated vertebral body image segmentation for medical screening |
| US9002081B2 (en) * | 2011-10-18 | 2015-04-07 | Matthew Sherman Brown | Computer-aided bone scan assessment with automated lesion detection and quantitative assessment of bone disease burden changes |
| US10039513B2 (en) | 2014-07-21 | 2018-08-07 | Zebra Medical Vision Ltd. | Systems and methods for emulating DEXA scores based on CT images |
| DE102014221942A1 (de) * | 2014-10-28 | 2016-04-28 | Siemens Aktiengesellschaft | Verfahren zur vollautomatischen Detektion und Bewertung von Wirbelschäden |
| US20170337682A1 (en) * | 2016-05-18 | 2017-11-23 | Siemens Healthcare Gmbh | Method and System for Image Registration Using an Intelligent Artificial Agent |
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2017
- 2017-12-01 GB GBGB1720059.3A patent/GB201720059D0/en not_active Ceased
-
2018
- 2018-11-29 AU AU2018376561A patent/AU2018376561B2/en active Active
- 2018-11-29 KR KR1020207018632A patent/KR102708979B1/ko active IP Right Grant
- 2018-11-29 SG SG11202004739RA patent/SG11202004739RA/en unknown
- 2018-11-29 CN CN201880077725.7A patent/CN111417980B/zh active Active
- 2018-11-29 EP EP18811788.1A patent/EP3718077A1/fr active Pending
- 2018-11-29 WO PCT/EP2018/082925 patent/WO2019106061A1/fr unknown
- 2018-11-29 US US16/767,785 patent/US11341639B2/en active Active
- 2018-11-29 CA CA3084097A patent/CA3084097A1/fr active Pending
- 2018-11-29 JP JP2020529542A patent/JP7241075B2/ja active Active
- 2018-11-29 IL IL274767A patent/IL274767B2/en unknown
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2022
- 2022-04-21 US US17/726,459 patent/US11710233B2/en active Active
Non-Patent Citations (3)
| Title |
|---|
| DARKO TERN ET AL., PARAMETRIC MODELLING AND SEGMENTATION OF VERTEBRAL BODIES IN 3D CT AND MR SPINE IMAGES, 11 November 2011 (2011-11-11) * |
| HOLGER R. ROTH ET AL., DEEP CONVOLUTIONAL NETWORKS FOR AUTOMATED DETECTION OF POSTERIOR-ELEMENT FRACTURES ON SPINE CT, 24 March 2016 (2016-03-24) * |
| WANG YINONG ET AL., MULTI-ATLAS SEGMENTATION WITH JOINT LABEL FUSION, 1 July 2016 (2016-07-01) * |
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| US11341639B2 (en) | 2022-05-24 |
| US20220358644A1 (en) | 2022-11-10 |
| IL274767B2 (en) | 2024-09-01 |
| SG11202004739RA (en) | 2020-06-29 |
| CN111417980A (zh) | 2020-07-14 |
| JP7241075B2 (ja) | 2023-03-16 |
| JP2021504061A (ja) | 2021-02-15 |
| NZ764955A (en) | 2023-11-24 |
| WO2019106061A1 (fr) | 2019-06-06 |
| IL274767A (en) | 2020-07-30 |
| AU2018376561A1 (en) | 2020-06-18 |
| KR102708979B1 (ko) | 2024-09-23 |
| CA3084097A1 (fr) | 2019-06-06 |
| US20200364856A1 (en) | 2020-11-19 |
| KR20200095504A (ko) | 2020-08-10 |
| GB201720059D0 (en) | 2018-01-17 |
| CN111417980B (zh) | 2024-06-04 |
| EP3718077A1 (fr) | 2020-10-07 |
| US11710233B2 (en) | 2023-07-25 |
| AU2018376561B2 (en) | 2024-05-02 |
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